Company: Center for Shared Services (Client)

General Information
  • Job Type: Full-time
  • Location: Alexandria, VA
  • Educational Requirements: Masters Degree
Contact Information

Job Description:

A Center for Shared Services client seeks a Data Scientist to discover actionable insights using a large repository of individual-level data.  The ideal candidate is someone who has significant analytical experience with very large datasets and is looking to leverage that knowledge to make a difference in economic freedom. The client’s mission focuses on providing data, consultative support, and easy to use technology through excellent customer service and superior data quality. 


Essential Responsibilities: 

  • Build and shape tools and products by applying advanced analytical techniques to large datasets. 
  • Develop and apply models that predict individuals’ propensity to engage in a behavior or hold a particular viewpoint. 
  • Design and implement new visualization techniques to help customers extract more meaning from their data. 
  • Work with technical staff to develop and refine data storage frameworks that are optimized for analytical use. 
  • Help design and build processes for evaluating and incorporating a variety of new incoming datasets. 
  • Present analytical results, both orally and in writing, to technical and non-technical audiences.



  • MS or PhD in a technical field, preferably statistics, mathematics, computer science, systems engineering, or a related field. Those with a non-technical degree but extensive technical experience are also encouraged to apply. 
  • 5+ years of experience with SPSS, SAS, R, Stata, or equivalent platform.  Mastery of at least one statistical package is required.
  • 3+ years of experience using a big data storage framework such as large scale partitioned relational databases, Hadoop, Hive, or similar large scale data frameworks 
  • Theoretical knowledge and extensive experience with advanced analytical techniques, including data mining, machine learning, and predictive modeling is required  
  • Real-world experience manipulating large data sets using Python, Perl, SQL, shell scripts, or similar 
  • Experience with terabyte-class datasets and “big data” storage frameworks is a huge plus, as is a background in visualization, computer science, or relational databases. Consumer modeling and experience with commercial databases a big plus. Real-world experience creating actionable data visualizations for consumption by non-technical audiences 
  • Strong math and statistics background 
  • Experience in risk management or fraud detection a big plus 
  • Political/advocacy experience in activist or free market organizations and experience working with voter files a big plus 
  • Experience with datamart-style dimensional databases a plus


How to Apply: Please visit to apply.